Ore body modeling is the process of constructing a three-dimensional digital representation of a mineral deposit using geological, geochemical, and geophysical data collected through exploration drilling, sampling, mapping, and geophysical surveys, in order to estimate the size, shape, grade distribution, and structural characteristics of the ore body. Geologists and mining engineers use specialized software to interpolate data points between drill holes, applying geostatistical techniques such as kriging to estimate grades at unsampled locations, ultimately producing a model that supports the classification of mineral resources and reserves according to internationally recognized reporting standards. In bauxite mining, ore body models typically represent relatively flat, near-surface lateritic deposits with attention to alumina and silica grade variation across the profile. Iron ore models often capture complex banded iron formations with variable thickness and grade, while gold ore body models must account for structural controls on mineralization, such as faults and veins, which can create highly variable grade distributions. Diamond ore body modeling, particularly for kimberlite deposits, involves modeling the geometry of pipes or dykes along with the spatial distribution of diamond grade and size frequency. Accurate ore body models are foundational to mine planning, as they inform pit design, scheduling, ore blending strategies, and the overall economic evaluation of a mining project.
